A practical approach to building trusted data foundations without overcomplicating governance.
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Executive leaders are investing in data and AI, but many organizations struggle to turn those investments into measurable business value. The problem often isn’t the technology itself—it’s that the data behind it is inconsistent, difficult to trust, or not governed in a way that supports fast decision-making.
Minimum Viable Data Governance (MVDG) offers a more practical path forward. Instead of trying to govern everything at once, MVDG starts with a specific business problem, identifies the critical data required to solve it, and applies only the governance needed to make that data trustworthy and actionable.
Through practical business scenarios, this session will show how leaders can reduce data friction, improve trust, accelerate AI readiness, and connect governance efforts directly to measurable outcomes. You’ll also see how Domo and Snowflake can help operationalize that approach from governed data foundations through analytics and decision-making.
Speakers:
- Hernan Osorio, Presales Engineer and PM, BlueYeti
- Jessica Zuniga, Head of AI Readiness and Data Governance, BlueYeti
- Michael Kravec, Chief Customer Officer, BlueYeti
- Mayur Mahadeshwar, Partner Sales Engineer, Snowflake
- Jason Longhurst, Sr. Dir Product Marketing, Domo
When: Wednesday, November 4, 2026, 10 AM to 11 AM MST. Free to attend.
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